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Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum

BACKGROUND: There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with...

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Autores principales: Sorice, Kristen A., Fang, Carolyn Y., Wiese, Daniel, Ortiz, Angel, Chen, Yuku, Henry, Kevin A., Lynch, Shannon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119356/
https://www.ncbi.nlm.nih.gov/pubmed/35166051
http://dx.doi.org/10.1002/cam4.4601
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author Sorice, Kristen A.
Fang, Carolyn Y.
Wiese, Daniel
Ortiz, Angel
Chen, Yuku
Henry, Kevin A.
Lynch, Shannon M.
author_facet Sorice, Kristen A.
Fang, Carolyn Y.
Wiese, Daniel
Ortiz, Angel
Chen, Yuku
Henry, Kevin A.
Lynch, Shannon M.
author_sort Sorice, Kristen A.
collection PubMed
description BACKGROUND: There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with cancer. Given recent calls for standardized measures of neighborhood sociodemographic effects in cancer disparity research, the objective of this systematic review was to identify and compare existing nSES indices studied across the cancer continuum (incidence, screening, diagnosis, treatment, survival/mortality) and summarize associations by race/ethnicity and cancer site to inform future cancer disparity studies. METHODS: Using PRISMA guidelines, peer‐reviewed articles published between 2010 and 2019 containing keywords related to nSES and cancer were identified in PubMed. RESULTS: Twenty‐four nSES indices were identified from 75 studies. In general, findings indicated a significant association between nSES and cancer outcomes (n = 64/75 studies; 85.33%), with 42/64 (65.63%) adjusting for highly‐correlated individual SES factors (e.g., education). However, the direction of association differed by cancer site, race/ethnicity, and nSES index. CONCLUSIONS: This review highlights several methodologic and conceptual issues surrounding nSES measurement and potential associations with cancer disparities. Recommendations pertaining to the selection of nSES measures are provided, which may help inform disparity‐related disease processes and improve the identification of vulnerable populations in need of intervention.
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spelling pubmed-91193562022-05-21 Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum Sorice, Kristen A. Fang, Carolyn Y. Wiese, Daniel Ortiz, Angel Chen, Yuku Henry, Kevin A. Lynch, Shannon M. Cancer Med REVIEW BACKGROUND: There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with cancer. Given recent calls for standardized measures of neighborhood sociodemographic effects in cancer disparity research, the objective of this systematic review was to identify and compare existing nSES indices studied across the cancer continuum (incidence, screening, diagnosis, treatment, survival/mortality) and summarize associations by race/ethnicity and cancer site to inform future cancer disparity studies. METHODS: Using PRISMA guidelines, peer‐reviewed articles published between 2010 and 2019 containing keywords related to nSES and cancer were identified in PubMed. RESULTS: Twenty‐four nSES indices were identified from 75 studies. In general, findings indicated a significant association between nSES and cancer outcomes (n = 64/75 studies; 85.33%), with 42/64 (65.63%) adjusting for highly‐correlated individual SES factors (e.g., education). However, the direction of association differed by cancer site, race/ethnicity, and nSES index. CONCLUSIONS: This review highlights several methodologic and conceptual issues surrounding nSES measurement and potential associations with cancer disparities. Recommendations pertaining to the selection of nSES measures are provided, which may help inform disparity‐related disease processes and improve the identification of vulnerable populations in need of intervention. John Wiley and Sons Inc. 2022-02-14 /pmc/articles/PMC9119356/ /pubmed/35166051 http://dx.doi.org/10.1002/cam4.4601 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle REVIEW
Sorice, Kristen A.
Fang, Carolyn Y.
Wiese, Daniel
Ortiz, Angel
Chen, Yuku
Henry, Kevin A.
Lynch, Shannon M.
Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
title Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
title_full Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
title_fullStr Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
title_full_unstemmed Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
title_short Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
title_sort systematic review of neighborhood socioeconomic indices studied across the cancer control continuum
topic REVIEW
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119356/
https://www.ncbi.nlm.nih.gov/pubmed/35166051
http://dx.doi.org/10.1002/cam4.4601
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